GB2596676A - Drilling system - Google Patents

Drilling system Download PDF

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Publication number
GB2596676A
GB2596676A GB2113750.0A GB202113750A GB2596676A GB 2596676 A GB2596676 A GB 2596676A GB 202113750 A GB202113750 A GB 202113750A GB 2596676 A GB2596676 A GB 2596676A
Authority
GB
United Kingdom
Prior art keywords
downhole tool
machine learning
learning model
drilling performance
results
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
GB2113750.0A
Other versions
GB202113750D0 (en
GB2596676B (en
Inventor
Boualleg Riadh
Charles Downton Geoffrey
Marie Degrange Jean
G Villareal Steven
Ignova Maja
Li Ling
L Mantle Katharine
Yu Tao
Yao Jia
Feng Zhao Kai
Bolchover Paul
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Geoquest Systems BV
Original Assignee
Geoquest Systems BV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Geoquest Systems BV filed Critical Geoquest Systems BV
Publication of GB202113750D0 publication Critical patent/GB202113750D0/en
Publication of GB2596676A publication Critical patent/GB2596676A/en
Application granted granted Critical
Publication of GB2596676B publication Critical patent/GB2596676B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B7/00—Special methods or apparatus for drilling
    • E21B7/04—Directional drilling
    • E21B7/10—Correction of deflected boreholes
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B34/00—Valve arrangements for boreholes or wells
    • E21B34/16—Control means therefor being outside the borehole
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/12—Methods or apparatus for controlling the flow of the obtained fluid to or in wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • E21B44/02—Automatic control of the tool feed
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E21B47/003—Determining well or borehole volumes
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E21B47/02—Determining slope or direction
    • E21B47/024—Determining slope or direction of devices in the borehole
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B7/00—Special methods or apparatus for drilling
    • E21B7/04—Directional drilling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like

Landscapes

  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Geology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geophysics (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Earth Drilling (AREA)
  • Stored Programmes (AREA)

Abstract

A method can include acquiring drilling performance data for a downhole tool; modeling drilling performance of the downhole tool to generate results; training a machine learning model using the drilling performance data and the results to generate a trained machine learning model; and predicting behavior of the downhole tool using the trained machine learning model.

Claims (15)

1. A method (4100) comprising: acquiring drilling performance data for a downhole tool (4110); modeling drilling performance of the downhole tool to generate results (4114); training a machine learning model using the drilling performance data and the results to generate a trained machine learning model (4118); and predicting behavior of the downhole tool using the trained machine learning model (4122).
2. The method of claim 1 , comprising, based at least on the predicting behavior of the downhole tool, selecting the downhole tool for drilling a borehole.
3. The method of claim 1 , comprising generating a digital well plan to drill a borehole using the downhole tool.
4. The method of claim 1 , comprising programming a controller using the trained machine learning model and controlling a drilling operation using the controller.
5. The method of claim 1 , wherein the modeling drilling performance of the downhole tool comprises utilizing a physics-based model.
6. The method of claim 1 , wherein the machine learning model comprises a Gaussian process model.
7. The method of claim 1 , wherein the trained machine learning model comprises an ensemble model.
8. The method of claim 1 , wherein the training the machine learning model using the drilling performance data and the results to generate a trained machine learning model comprising computing residuals.
9. The method of claim 8, wherein the residuals comprise errors between the drilling performance data and the results and/or wherein the residuals comprise values with respect to a trajectory, wherein the trajectory comprises a dogleg.
10. The method of claim 1 , comprising rendering a graphical user interface to a display based on the predicting behavior of the downhole tool, optionally wherein the graphical user interface comprises dogleg information for the downhole tool.
11. The method of claim 1 , comprising providing a trained pre-processing machine learning model that outputs one or more values for the downhole tool for the modeling drilling performance of the downhole tool.
12. The method of claim 11 , comprising generating the trained pre-processing machine learning model.
13. The method of claim 1 , wherein the downhole tool comprises a rotary steerable system.
14. A system (790) comprising: a processor (793); memory (794) accessible by the processor; processor-executable instructions (796) stored in the memory and executable to instruct the system to: acquire drilling performance data for a downhole tool (4111 ); model drilling performance of the downhole tool to generate results (4115); train a machine learning model using the drilling performance data and the results to generate a trained machine learning model (4119); and predict behavior of the downhole tool using the trained machine learning model (4123).
15. One or more computer-readable storage media comprising processor-executable instructions to instruct a computing system to perform a method according to any of claims 1 to 13.
GB2113750.0A 2019-03-21 2020-03-20 Predicting downhole tool behaviour using a trained machine learning model Active GB2596676B (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201962821551P 2019-03-21 2019-03-21
US201962849975P 2019-05-20 2019-05-20
US201962950934P 2019-12-20 2019-12-20
PCT/US2020/024021 WO2020191360A1 (en) 2019-03-21 2020-03-20 Drilling system

Publications (3)

Publication Number Publication Date
GB202113750D0 GB202113750D0 (en) 2021-11-10
GB2596676A true GB2596676A (en) 2022-01-05
GB2596676B GB2596676B (en) 2023-07-19

Family

ID=72519392

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2113750.0A Active GB2596676B (en) 2019-03-21 2020-03-20 Predicting downhole tool behaviour using a trained machine learning model

Country Status (4)

Country Link
US (1) US20220170359A1 (en)
GB (1) GB2596676B (en)
NO (1) NO20211160A1 (en)
WO (1) WO2020191360A1 (en)

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NO20220431A1 (en) * 2019-11-15 2022-04-08 Halliburton Energy Services Inc Value balancing for oil or gas drilling and recovery equipment using machine learning models
US11734603B2 (en) * 2020-03-26 2023-08-22 Saudi Arabian Oil Company Method and system for enhancing artificial intelligence predictions using well data augmentation
US12084956B2 (en) * 2020-09-22 2024-09-10 Saudi Arabian Oil Company Method and system for processing well log data from multiple wells using machine learning
WO2022073027A1 (en) * 2020-10-01 2022-04-07 Schlumberger Technology Corporation Directional drilling advising for rotary steerable system
US20220120174A1 (en) * 2020-10-16 2022-04-21 Halliburton Energy Services, Inc. Use of residual gravitational signal to generate anomaly detection model
US11542760B2 (en) * 2020-12-03 2023-01-03 Schlumberger Technology Corporation Rig operations controller
US11668177B2 (en) 2021-02-24 2023-06-06 Saudi Arabian Oil Company Predicting formation tops at the bit using machine learning
US11733022B2 (en) 2021-06-22 2023-08-22 Baker Hughes Oilfield Operations Llc Determining part stress with in situ sensors
US12116887B2 (en) * 2021-08-04 2024-10-15 Nabors Drilling Technologies Usa, Inc. Methods and apparatus to identify and implement downlink command sequence(s)
GB2623284A (en) * 2021-08-06 2024-04-10 Baker Hughes Oilfield Operations Llc Adaptive trajectory control for automated directional drilling
CN113464120B (en) * 2021-09-06 2021-12-03 中国石油集团川庆钻探工程有限公司 Tool face state prediction method and system, and sliding directional drilling method and system
US20230175383A1 (en) * 2021-12-07 2023-06-08 Halliburton Energy Services, Inc. System and method for automated identification of mud motor drilling mode
US20230203933A1 (en) * 2021-12-29 2023-06-29 Halliburton Energy Services, Inc. Real time drilling model updates and parameter recommendations with caliper measurements
US11788400B2 (en) * 2021-12-29 2023-10-17 Halliburton Energy Service, Inc. Method for real-time pad force estimation in rotary steerable system
CN114278273A (en) * 2021-12-31 2022-04-05 中煤地第二勘探局集团有限责任公司 Device and method for measuring rotating speed and excitation frequency of eccentric shaft of audio drilling machine
US11970929B2 (en) * 2022-03-02 2024-04-30 Nabors Drilling Technologies Usa, Inc. Methods and apparatus to create and implement a steering command for a rotary steerable system
US12024992B2 (en) * 2022-03-04 2024-07-02 Halliburton Energy Services, Inc. Model-based curvature cruise control design
CN114758088A (en) * 2022-04-14 2022-07-15 华东交通大学 Rare earth production process virtual inspection and process simulation method and system
WO2024064007A1 (en) * 2022-09-19 2024-03-28 Schlumberger Technology Corporation Automatic well log reconstruction
WO2024129484A1 (en) * 2022-12-15 2024-06-20 Schlumberger Technology Corporation Drill bit optimizer
WO2024159060A1 (en) * 2023-01-28 2024-08-02 Schlumberger Technology Corporation Liner hanger operations framework
CN117662106B (en) * 2024-01-30 2024-04-19 四川霍尼尔电气技术有限公司 Drilling machine electric control system and electric control method

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Also Published As

Publication number Publication date
US20220170359A1 (en) 2022-06-02
GB202113750D0 (en) 2021-11-10
GB2596676B (en) 2023-07-19
WO2020191360A1 (en) 2020-09-24
NO20211160A1 (en) 2021-09-28

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